Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-10-20 11:05:17	ga_s2am_ard_3-2-1_52JCL_2015-10-20_final.stac-item
2015-11-29 10:57:18	ga_s2am_ard_3-2-1_52JFN_2015-11-29_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JLQ_2015-12-17_final.stac-item
2016-01-14 11:26:24	ga_s2am_ard_3-2-1_51HXE_2016-01-14_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JMS_2016-01-16_final.stac-item
2016-04-10 11:07:07	ga_s2am_ard_3-2-1_52KFG_2016-04-10_final.stac-item
2016-04-25 12:03:51	ga_s2am_ard_3-2-1_50KMV_2016-04-25_final.stac-item
2016-07-27 12:13:48	ga_s2am_ard_3-2-1_49KHQ_2016-07-27_final.stac-item
2016-08-05 11:01:22	ga_s2am_ard_3-2-1_52JCR_2016-08-05_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51JYG_2016-12-09_final
2016-12-10 10:47:57	ga_s2am_ard_3-2-1_52JFQ_2016-12-10_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52KFA_2016-12-13_final
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_51JTG_2016-12-15_final
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49KHQ_2016-12-24_final
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_50KKU_2016-12-24_final
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_51LUF_2017-01-24_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_51HXE_2017-01-25_final
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_51JXF_2017-01-25_final
2017-02-24 11:12:09	ga_s2am_ard_3-2-1_52JCT_2017-02-24_final
2017-04-02 10:57:12	ga_s2am_ard_3-2-1_52LHH_2017-04-02_final
2017-04-02 11:02:44	ga_s2am_ard_3-2-1_52KED_2017-04-02_final
2017-05-09 10:52:19	ga_s2am_ard_3-2-1_52JGT_2017-05-09_final
2017-05-09 10:52:19	ga_s2am_ard_3-2-1_52JHT_2017-05-09_final
2017-05-09 10:52:19	ga_s2am_ard_3-2-1_52KGA_2017-05-09_final
2017-05-09 10:52:19	ga_s2am_ard_3-2-1_52KHU_2017-05-09_final
2017-07-07 11:26:09	ga_s2am_ard_3-2-1_51HXE_2017-07-07_final
2017-09-22 11:11:57	ga_s2am_ard_3-2-1_52JDP_2017-09-22_final
2018-12-04 12:14:23	ga_s2am_ard_3-2-1_49JHN_2018-12-04_final
2019-02-23 11:44:36	ga_s2am_ard_3-2-1_51JUM_2019-02-23_final
2019-02-23 11:46:49	ga_s2am_ard_3-2-1_50HQH_2019-02-23_final
2019-02-27 11:26:33	ga_s2am_ard_3-2-1_51HVE_2019-02-27_final
2019-03-04 10:35:51	ga_s2am_ard_3-2-1_53HQE_2019-03-04_final
2019-03-06 11:11:45	ga_s2am_ard_3-2-1_52KGG_2019-03-06_final
2019-03-26 11:15:11	ga_s2am_ard_3-2-1_52JDP_2019-03-26_final
2019-05-12 11:04:59	ga_s2am_ard_3-2-1_52JCR_2019-05-12_final
2019-06-16 11:52:41	ga_s2am_ard_3-2-1_50KPF_2019-06-16_final.stac-item
2019-07-16 11:52:43	ga_s2am_ard_3-2-1_50KPF_2019-07-16_final.stac-item
2019-11-08 11:05:41	ga_s2am_ard_3-2-1_52JFM_2019-11-08_final
2019-12-29 12:14:26	ga_s2am_ard_3-2-1_49JHN_2019-12-29_final
2020-01-27 11:05:32	ga_s2am_ard_3-2-1_52JFM_2020-01-27_final
2020-02-01 11:52:30	ga_s2am_ard_3-2-1_50KPF_2020-02-01_final.stac-item
2020-02-16 11:05:32	ga_s2am_ard_3-2-1_52JFM_2020-02-16_final
2020-02-29 11:15:08	ga_s2am_ard_3-2-1_52JDP_2020-02-29_final
2020-02-29 11:15:15	ga_s2am_ard_3-2-1_52JDP_2020-02-29_final
2020-04-01 11:52:33	ga_s2am_ard_3-2-1_50KPF_2020-04-01_final.stac-item
2020-05-08 11:41:22	ga_s2am_ard_3-2-1_51LUF_2020-05-08_final
2020-07-20 11:52:42	ga_s2am_ard_3-2-1_50KPF_2020-07-20_final.stac-item
2020-07-28 11:11:45	ga_s2am_ard_3-2-1_52LGH_2020-07-28_final
2020-08-26 11:47:26	ga_s2am_ard_3-2-1_50HNG_2020-08-26_final.stac-item
2020-08-29 11:52:42	ga_s2am_ard_3-2-1_50KPF_2020-08-29_final.stac-item
2020-09-03 11:01:55	ga_s2am_ard_3-2-1_52LFH_2020-09-03_final
2020-09-18 11:55:20	ga_s2am_ard_3-2-1_50JPQ_2020-09-18_final
2021-08-21 11:41:20	ga_s2am_ard_3-2-1_51LUF_2021-08-21_final
2021-08-25 11:25:47	ga_s2am_ard_3-2-1_51JYG_2021-08-25_final
2021-11-22 11:55:26	ga_s2am_ard_3-2-1_50JPP_2021-11-22_final
2021-11-30 11:15:57	ga_s2am_ard_3-2-1_51JXG_2021-11-30_final
2021-12-17 11:04:58	ga_s2am_ard_3-2-1_52JFQ_2021-12-17_final
2021-12-17 11:05:35	ga_s2am_ard_3-2-1_52JFM_2021-12-17_final
2021-12-18 10:35:57	ga_s2am_ard_3-2-1_53HQE_2021-12-18_final
2021-12-30 11:11:52	ga_s2am_ard_3-2-1_52KGG_2021-12-30_final
2022-01-02 11:25:54	ga_s2am_ard_3-2-1_51JXG_2022-01-02_final
2022-02-18 11:14:09	ga_s2am_ard_3-2-1_52JET_2022-02-18_final
2022-02-18 11:15:41	ga_s2am_ard_3-2-1_52JCN_2022-02-18_final
2022-03-11 10:45:33	ga_s2am_ard_3-2-1_53JKH_2022-03-11_final
2022-05-16 11:05:43	ga_s2am_ard_3-2-1_52JFM_2022-05-16_final
2022-05-23 10:55:12	ga_s2am_ard_3-2-1_52JFQ_2022-05-23_final
2022-07-05 11:05:08	ga_s2am_ard_3-2-1_52JCR_2022-07-05_final
2022-07-08 11:16:32	ga_s2am_ard_3-2-1_51JWF_2022-07-08_final
2022-08-22 10:26:34	ga_s2am_ard_3-2-1_53HPD_2022-08-22_final
2022-11-09 10:55:35	ga_s2am_ard_3-2-1_53JKG_2022-11-09_final.stac-item
2022-11-15 11:11:53	ga_s2am_ard_3-2-1_52KGG_2022-11-15_final.stac-item
2022-11-21 11:36:34	ga_s2am_ard_3-2-1_51HVD_2022-11-21_final.stac-item
2022-11-29 10:55:02	ga_s2am_ard_3-2-1_52JFQ_2022-11-29_final.stac-item
2022-12-14 11:44:51	ga_s2am_ard_3-2-1_51JUL_2022-12-14_final.stac-item
2022-12-27 11:55:25	ga_s2am_ard_3-2-1_50JPP_2022-12-27_final.stac-item
2023-01-07 11:25:44	ga_s2am_ard_3-2-1_51JYG_2023-01-07_final.stac-item
2023-02-06 11:26:04	ga_s2am_ard_3-2-1_51JUG_2023-02-06_final.stac-item
2023-02-10 11:03:32	ga_s2am_ard_3-2-1_52KHV_2023-02-10_final.stac-item
2023-02-12 11:46:51	ga_s2am_ard_3-2-1_50HQH_2023-02-12_final.stac-item
2023-02-20 11:05:36	ga_s2am_ard_3-2-1_52JFM_2023-02-20_final.stac-item
2023-03-16 10:45:26	ga_s2am_ard_3-2-1_53JKH_2023-03-16_final.stac-item
2023-05-01 11:04:56	ga_s2am_ard_3-2-1_52JCR_2023-05-01_final.stac-item
2023-05-12 10:35:55	ga_s2am_ard_3-2-1_53HQE_2023-05-12_final.stac-item
2023-05-17 11:26:09	ga_s2am_ard_3-2-1_51JXF_2023-05-17_final.stac-item
2023-05-21 11:01:53	ga_s2am_ard_3-2-1_52LFH_2023-05-21_final.stac-item
2023-07-16 11:25:46	ga_s2am_ard_3-2-1_51JYH_2023-07-16_final.stac-item
2023-08-02 11:11:55	ga_s2am_ard_3-2-1_52KGG_2023-08-02_final.stac-item
2023-09-26 10:26:20	ga_s2am_ard_3-2-1_53HPD_2023-09-26_final.stac-item
2023-09-28 11:06:16	ga_s2am_ard_3-2-1_52HEK_2023-09-28_final.stac-item
2023-11-04 10:55:03	ga_s2am_ard_3-2-1_52JFQ_2023-11-04_final.stac-item
2023-12-05 12:04:52	ga_s2am_ard_3-2-1_50JMR_2023-12-05_final.stac-item
2023-12-24 10:54:59	ga_s2am_ard_3-2-1_52JFQ_2023-12-24_final.stac-item
2024-02-11 11:25:42	ga_s2am_ard_3-2-1_51JYG_2024-02-11_final.stac-item
2024-02-12 10:54:59	ga_s2am_ard_3-2-1_52JFQ_2024-02-12_final.stac-item
2024-02-28 11:15:57	ga_s2am_ard_3-2-1_51JXG_2024-02-28_final.stac-item
2024-02-29 10:45:29	ga_s2am_ard_3-2-1_53JKH_2024-02-29_final.stac-item
2024-03-16 11:04:35	ga_s2am_ard_3-2-1_52JGR_2024-03-16_final.stac-item
2024-03-29 11:15:57	ga_s2am_ard_3-2-1_51JXG_2024-03-29_final.stac-item
2024-04-25 11:03:35	ga_s2am_ard_3-2-1_52KHV_2024-04-25_final.stac-item
2024-05-01 11:25:47	ga_s2am_ard_3-2-1_51JYG_2024-05-01_final.stac-item

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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